10058269

Monitoring System for Identifying an End-Exhalation Carbon Dioxide Value of Enhanced Clinical Utility

PublishedAugust 28, 2018
Assigneenot available in USPTO data we have
Technical Abstract

Patent Claims
32 claims

Legal claims defining the scope of protection, as filed with the USPTO.

1

1. A medical monitoring device for evaluating a patient, comprising: a carbon dioxide sensing device that is adapted to receive at least a portion of exhaled flow from the patient and to produce a first output indicative of exhaled carbon dioxide associated with the exhaled flow; an oximeter and a sensor in communication with the oximeter that is adapted to receive an input from the sensor when the sensor is mounted to the patient and to produce a second output indicative of oxygen saturation of blood of the patient; and a processor adapted to receive at least the first output and the second output and to integrate at least the first output with the second output and to provide an indication indicative of the integration, wherein the carbon dioxide sensing device is a capnometer and the oximeter is a pulse oximeter, and wherein the processor is adapted to continuously receive said at least first and second outputs from said capnometer and said pulse oximeter and to continuously compute, in real-time, single unit-less index-values based on integration of said at least first and second outputs, wherein the single unit-less index-value is indicative of a respiratory status of the patient, such that a change in the single unit-less index-value is indicative of a change in the patient respiratory status, and a display adapted to receive the single unit-less index value, and to generate a display output of the singly unit-less index value, wherein the processor is adapted to update the display output to an update display output indicative of real-time changes of the respiratory status of the patient.

2

2. The medical monitoring device of claim 1 , wherein said at least first and second outputs comprises a respiratory rate related parameter, a pulmonary related parameter, a cardiac related parameter or any combination thereof.

3

3. The medical monitoring device of claim 1 , wherein said at least first and second outputs comprises respiratory rate, EtCO 2 , SpO 2 , pulse, or any combination thereof.

4

4. The medical monitoring device of claim 1 , wherein the single unit-less index-value is responsive to a relationship of at least the first and second outputs.

5

5. The medical monitoring device of claim 1 , wherein the processor is adapted to detect a pattern of at least one of said first and second outputs over time and to adjust said single unit-less index-value in response to the detection of the pattern.

6

6. The medical monitoring device of claim 5 , wherein the pattern is a pathophysiologic divergence pattern of respiratory rate and SpO 2 over time, and the processor is adapted to adjust said single unit-less index-value in response to the detection of said divergence pattern of respiratory rate and SpO 2 .

7

7. The medical monitoring device of claim 5 , wherein the pattern is a pathophysiologic divergence pattern of EtCO 2 and SpO 2 , wherein EtCO 2 is falling and SpO 2 is falling over time and the processor is adapted to adjust said single unit-less index-value in response to the detection of said divergence pattern of EtCO 2 and SpO 2 .

8

8. The medical monitoring device of claim 5 , wherein the processor is adapted to quantify the pattern and to adjust said single unit-less index-value in response to the quantification of the pattern.

9

9. The medical monitoring device of claim 8 , wherein the pattern is a cluster pattern of rapidly cycling of EtCO 2 and/or SpO 2 , and the processor is adapted to detect and quantify the cluster pattern, and to adjust said single unit-less index-value in response to the quantification of the cluster pattern.

10

10. The medical monitoring device of claim 8 , wherein the pattern is a cluster pattern of rises or falls of at least one of said first and second outputs over time, wherein each of the rises or falls are induced by an apnea or hypopnea and, wherein the processor is adapted to detect and quantify the cluster pattern, and to adjust said single unit-less index-value in response to the quantification of the cluster pattern.

11

11. The medical monitoring device of claim 1 , wherein said processor is adapted to compute said single unit-less index-value according to an average of an output of at least one of the capnometer or the pulse oximeter.

12

12. The medical monitoring device of claim 1 , wherein said processor is adapted to compute said single unit-less index-value by a mathematical operation.

13

13. The medical monitoring device of claim 12 , wherein said mathematical operation comprises addition.

14

14. The medical monitoring device of claim 1 , wherein said processor is adapted to compute a parameter specific index for each of the first and second outputs, the parameter specific index being indicative of a medical significance level of each of the first and second outputs.

15

15. The medical monitoring device of claim 14 , wherein said parameter specific index of at least one of the first and second outputs is determined by comparing an output value of said at least one of the first and second outputs with that of a normal level.

16

16. The medical monitoring device of claim 14 , wherein said parameter specific index of at least one of the first and second outputs is a function of a difference of the at least one of the first and second outputs and a normal value.

17

17. The medical monitoring device of claim 16 , wherein said function exhibits an acceleration of a slope of said parameter specific index as said difference increases.

18

18. The medical monitoring device of claim 17 , wherein said parameter specific index is responsive to a square of said difference which is then reduced by a factor.

19

19. The medical monitoring device of claim 18 , wherein said parameter specific index is the square of said difference which is then divided by 10.

20

20. The medical monitoring device of claim 1 , wherein said processor is further adapted to compute a trend or pattern of said single unit-less index-value.

21

21. The medical monitoring device of claim 1 , wherein said processor is further adapted to provide a medical recommendation.

22

22. The medical monitoring device of claim 21 , wherein said medical recommendation is determined according to said single unit-less index-value.

23

23. The medical monitoring device of claim 20 , further comprising a graphic display of a trend or pattern of said single unit-less index-value.

24

24. The medical monitoring device of claim 20 , wherein the processor is adapted to identify the trend or pattern of the single unit-less index-value.

25

25. The medical monitoring device of claim 1 , wherein the processor is adapted to generate a time series of the single unit-less index-value.

26

26. The medical monitoring device of claim 1 , wherein the processor is further adapted to output an indication of the respiratory status of the patient.

27

27. The medical monitoring device of claim 26 , wherein said indication of the respiratory status comprises at least one of hyperventilation or hyperventilation.

28

28. The medical monitoring device of claim 1 , wherein said single unit-less index-value is in a range of 1 to 100.

29

29. The medical monitoring device of claim 1 , wherein a decrease in said single unit-less index-value is indicative of an improvement in a patient's status.

30

30. The medical monitoring device of claim 1 , wherein an increase in said single unit-less index-value is indicative of a deterioration of a patient's status.

31

31. The medical monitoring device of claim 1 , wherein the processor is adapted to detect a threshold value of said single unit-less index-value.

32

32. The medical monitoring device of claim 1 , wherein said processor is adapted to compute said single unit-less index-value by a mathematical operation which combines at least two parameter specific indices.

Patent Metadata

Filing Date

Unknown

Publication Date

August 28, 2018

Inventors

Lawrence A. Lynn

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Cite as: Patentable. “Monitoring System for Identifying an End-Exhalation Carbon Dioxide Value of Enhanced Clinical Utility” (10058269). https://patentable.app/patents/10058269

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Monitoring System for Identifying an End-Exhalation Carbon Dioxide Value of Enhanced Clinical Utility — Lawrence A. Lynn | Patentable